Practical Neural Network Recipes in C++ - GBV
    Practical Neural Network Recipes in C++ Timothy Masters Academic Press San Diego New York Boston London Sydney Tokyo Toronto . Contents Preface xvii 1. Foundations 1 Motivation 2 New Life for Old Techniques 3 Perceptrons and Linear Separability 4 Neural Network Capabilities 6
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    Practical Neural Network Recipies in C++. Sure in the book is an IBM diskette that features the supply code for all packages in the book. A lot of this code might be simply tailored to C compilers. As well as, the operation of all packages is completely mentioned each in the textual content and in the feedback inside the code to facilitate translation to different languages.
    Preface Dedication Chapter 1—Introduction to Neural Networks
    C++ Neural Networks and Fuzzy Logic - Table of Contents C++ Neural Networks and Fuzzy Logic by Valluru B. Rao M&T Books, IDG Books Worldwide, Inc.
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    Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up.The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals.
    Practical Neural Network Recipies in C++ by Masters ...
    Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up. The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals.
    Practical Neural Network Recipies in C++ by Masters (ebook)
    This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network.
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    Practical Neural Network Recipes in C++ - Timothy Masters ...
    Practical Neural Network Recipes in C++. The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals. Other network models with strong performance records are also included. Bound in the book is an IBM diskette that includes the source code for all programs in the book.
    Practical Neural Network Recipies in C++ - 1st Edition
    Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up. The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals.
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    This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network.